Ceramic is one of the highly competitive products in Thailand. Many Thai ceramic companies are attempting to know the customer needs and perceptions for making favorite products. To know customer needs is the target of designers and to develop a product that must satisfy customers. This research is applied Kansei Engineering (KE) and Data Mining (DM) into the customer driven product design proc...

The Kansei engineering is a technology which converts human feelings into quantitative terms and helps designers develop new products that meet customers’ expectation. Standard Kansei engineering procedure involves finding relationships between human feelings and design elements of which many researchers have found forward and backward relationship through various soft computing techniques. In ...

-Data Mining is a powerful tool for academic intervention. Mining in education environment is called Educational Data Mining. Educational Data Mining is concerned with developing new methods to discover knowledge from educational database and can used for decision making in educational system. In our work, we collected the student’s data from engineering institute that have different informatio...

Machine learning and Data mining are becoming increasingly important in the recent years and have been successfully applied to solve a number of problems, especially in the areas of science and engineering. A variety of algorithms exist in the popular data mining tool ‘Weka’ to classify a given set of records into different classes. However, choosing the right classifier among them is a tricky ...

The objective of the paper is to compare two data mining tools on the basis of various estimation criteria. The data mining tools which are evaluated are WEKA and DTREG. These tools are used to build multilayer perceptron which is a data mining model to predict the survivability of the oral cancer patients. Oral cancer database is considered as it is estimated to be 8th most common cancer world...

When creating computational models of engineering structures, it can be very helpful to have insights into the behavior and composition of the physical system. Such insights can be gleaned using data mining techniques, where often unexpected relationships between physical quantities can be made evident. In the context of an agent-based research project to monitor dams, a number of sensors suppl...